Pebblebrook Hotel Trust (PEB) Operating Expenses (2010 - 2026)
Pebblebrook Hotel Trust (PEB) recorded Operating Expenses of $349.9 million in Q2 2026, down 1.5% from $355.15 million a year earlier but up 3.6% from the prior quarter.
Pebblebrook Hotel Trust (PEB) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Pebblebrook Hotel Trust's Operating Expenses came in at $1.44 billion as of Jun 30, 2026, up 2.6% year-over-year; for FY2025, it came in at $1.43 billion, up 4.6% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 14.2% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $1.37 billion in FY2024 (-0.9%), $1.38 billion in FY2023 (+0.4%), $1.38 billion in FY2022 (+67.4%) and $822.84 million in FY2021 (+11.9%).
- Quarterly Operating Expenses has ranged from $239.44 million in Q3 2021 to $421.84 million in Q3 2023 over the past five years.
- On a year-over-year basis, Operating Expenses rose in five of the last eight quarters, with growth averaging 0.9%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 152.1% in Q2 2022, against a decline of 15.3% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $337.61 million (Q1 2026), $340.16 million (Q4 2025) and $408.93 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn | 3.22 Bn |
| 2 | Prologis | 123.74 Bn | 128.13 Bn | - | 1.47 Bn |
| 3 | Simon Property | 66.68 Bn | 67.94 Bn | - | 900.79 Mn |
| 4 | Realty Income | 52.20 Bn | 54.59 Bn | - | 1.19 Bn |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - | 766.20 Mn |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - | 1.68 Bn |
| 7 | Extra Space Storage | 28.21 Bn | 28.21 Bn | 642.43 Mn | 481.97 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 315.61 Mn |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - | 566.18 Mn |
| 10 | Pebblebrook Hotel Trust | 2.11 Bn | 1.34 Bn | 154.61 Mn | 349.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 349.90 Mn |
| Mar 31, 2026 | 337.61 Mn |
| Dec 31, 2025 | 340.16 Mn |
| Sep 30, 2025 | 408.93 Mn |
| Jun 30, 2025 | 355.15 Mn |
| Mar 31, 2025 | 327.50 Mn |
| Dec 31, 2024 | 360.23 Mn |
| Sep 30, 2024 | 357.47 Mn |
| Jun 30, 2024 | 336.14 Mn |
| Mar 31, 2024 | 315.45 Mn |
| Dec 31, 2023 | 350.24 Mn |
| Sep 30, 2023 | 421.84 Mn |
| Jun 30, 2023 | 309.54 Mn |
| Mar 31, 2023 | 300.52 Mn |
| Dec 31, 2022 | 331.38 Mn |
| Sep 30, 2022 | 364.48 Mn |
| Jun 30, 2022 | 345.58 Mn |
| Mar 31, 2022 | 335.73 Mn |
| Dec 31, 2021 | 266.56 Mn |
| Sep 30, 2021 | 239.44 Mn |
Pebblebrook Hotel Trust Operating Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-expenses&ticker=PEB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "PEB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=PEB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();